Task Scheduler

Task Scheduler - LeetCodeLeetCode

Problem

Given a characters array tasks, representing the tasks a CPU needs to do, where each letter represents a different task. Tasks could be done in any order. Each task is done in one unit of time. For each unit of time, the CPU could complete either one task or just be idle.

However, there is a non-negative integer n that represents the cooldown period between two same tasks (the same letter in the array), that is that there must be at least n units of time between any two same tasks.

Return the least number of units of times that the CPU will take to finish all the given tasks.

Example 1:

Input: tasks = ["A","A","A","B","B","B"], n = 2
Output: 8
Explanation:
A -> B -> idle -> A -> B -> idle -> A -> B
There is at least 2 units of time between any two same tasks.

Example 2:

Input: tasks = ["A","A","A","B","B","B"], n = 0
Output: 6
Explanation:
On this case any permutation of size 6 would work since n = 0.
["A","A","A","B","B","B"]
["A","B","A","B","A","B"]
["B","B","B","A","A","A"]
...
And so on.

Example 3:

Input: tasks = ["A","A","A","A","A","A","B","C","D","E","F","G"], n = 2
Output: 16
Explanation:
One possible solution is
A -> B -> C -> A -> D -> E -> A -> F -> G -> A -> idle -> idle -> A -> idle -> idle -> A

Pseudocode

- need some sort of book keeping to keep track of time
- always prioritize tasks with the most count, use a maxHeap
- push task into a queue, as an array with 
    - a timestamp on when it was pushed + time required to finish = ending time
    - when task is completed time = ending time
        - take task and offer back into maxHeap
    

Solution

// this is what I was looking for
// https://leetcode.com/problems/task-scheduler/solutions/2260435/javascript-max-heap-hash-map-o-n-2-time-o-n-2-space/
var leastInterval = function (tasks, n) {
  let hashMap = new Map();
  for (let task of tasks) {
    hashMap.set(task, hashMap.get(task) + 1 || 1);
  }

  let maxHeap = new MaxHeap();
  for (let [key, value] of hashMap.entries()) {
    maxHeap.offer(value);
  }

  let queue = [];
  let time = 0;
  while (maxHeap.array.length || queue.length) {
    // console.log('queue:', queue, 'maxHeap:', maxHeap.array)
    let task = maxHeap.array.length ? maxHeap.poll() : null;

    if (task) {
      task--;
      time++;
      if (task !== 0) queue.push([task, time + n]);
    } else {
      time++;
    }

    if (queue.length && queue[0][1] <= time) {
      let temp = queue.shift();
      maxHeap.offer(temp[0]);
    }
  }

  return time;
};

class MaxHeap {
  constructor() {
    this.array = [];
  }

  offer(val) {
    this.array.push(val);
    this.bubbleUp(this.array.length - 1);
  }

  bubbleUp(index) {
    while (index > 0) {
      let parent = Math.floor((index - 1) / 2);
      if (this.array[index] > this.array[parent]) {
        this.swap(index, parent);
      }
      index = parent;
    }
    return null;
  }

  poll() {
    this.swap(0, this.array.length - 1);
    let result = this.array.pop();
    this.bubbleDown(0);
    return result;
  }

  bubbleDown(parent) {
    while (true) {
      let left = parent * 2 + 1;
      let right = parent * 2 + 2;
      if (
        (this.array[parent] < this.array[left] && !this.array[right]) ||
        this.array[left] > this.array[right]
      ) {
        this.swap(parent, left);
        parent = left;
      } else if (this.array[parent] < this.array[right]) {
        this.swap(parent, right);
        parent = right;
      } else {
        parent = left;
      }
      if (!this.array[parent]) break;
    }
    return null;
  }

  swap(index1, index2) {
    let temp = this.array[index1];
    this.array[index1] = this.array[index2];
    this.array[index2] = temp;
    return null;
  }
}

Time and Space Complexity

Time

• What did the code do

• Total -

Space

• What did the code do

• Total -